Managing large volumes of distributed scientific data
The ability to store large volumes of data is increasing faster than processing power. Some existing data management methods often result in data loss, inaccessibility or repetition of simulations. We propose a framework which promotes collaboration and simplifies data management. We propose an imp...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
2008.
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| Subjects: | |
| Online Access: | Get fulltext |